Catherine S. Coleman
- Molecular Biology top 10%
- Biochemistry top 0.5%
- Pharmacology top 5%
- Cell Biology top 10%
- Epidemiology
- Co-authors
- Anthony E. PeggLisa M. ShantzHuatao HuangLeonard S. JeffersonScot R. KimballMichael D. DennisVincent ChauArthur Berg
- Topics
- Polyamine Metabolism and Applications (23 papers)Amino Acid Enzymes and Metabolism (15 papers)Epigenetics and DNA Methylation (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Cell Biology
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Catherine S. Coleman
32 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 1.1k
- Biochemistry 468
- Pharmacology 252
- Cell Biology 196
- Epidemiology 124
Countries citing papers authored by Catherine S. Coleman
This map shows the geographic impact of Catherine S. Coleman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Catherine S. Coleman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine S. Coleman more than expected).
Fields of papers citing papers by Catherine S. Coleman
This network shows the impact of papers produced by Catherine S. Coleman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Catherine S. Coleman. The network helps show where Catherine S. Coleman may publish in the future.
Co-authorship network of co-authors of Catherine S. Coleman
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine S. Coleman. A scholar is included among the top collaborators of Catherine S. Coleman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Catherine S. Coleman. Catherine S. Coleman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 50 | |
| 4 | 49 | |
| 5 | 32 | |
| 6 | 12 | |
| 7 | 45 | |
| 8 | 42 | |
| 9 | 38 | |
| 10 | 2 | |
| 11 | 44 | |
| 12 | 50 | |
| 13 | Expression of an ornithine decarboxylase dominant-negative mutant reverses eukaryotic initiation factor 4E-induced cell transformation. | 30 |
| 14 | 51 | |
| 15 | 155 | |
| 16 | 51 | |
| 17 | 3 | |
| 18 | 7 | |
| 19 | 10 | |
| 20 | 43 |
About Catherine S. Coleman
Catherine S. Coleman is a scholar working on Biochemistry, Molecular Biology and Biotechnology, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (23 papers), Amino Acid Enzymes and Metabolism (15 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Biochemistry (468 citations), Molecular Biology (1.1k citations) and Pharmacology (252 citations). Catherine S. Coleman has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Anthony E. Pegg, Lisa M. Shantz, Huatao Huang, Leonard S. Jefferson, Scot R. Kimball, Michael D. Dennis, Vincent Chau, Arthur Berg, Diane E. McCloskey and Theo van Laar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.